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How can teams of artificial agents localize and position themselves in GPS-denied environments? How can each agent determine its position from pairwise ranges, own velocity, and limited interaction with neighbors? This paper addresses this problem from an optimization point of view: we directly optimize the nonconvex maximum-likelihood estimator in the presence of range measurements contaminated with...
In this paper, we present an approach for producing side scan sonar image mosaicking under a robust SLAM scheme. A Pose Graph based SLAM algorithm is used to perform a correction over the sensor trajectory for enabling image registration, using observation constraints extracted from the images. However, due to the operational context, the available odometry data carries a high degree of uncertainty...
This paper studies an optimal autonomous underwater vehicule (AUV) path planning method for both reducing average delay before pollutants detection in underwater mining, oil or gas fields and reducing AUV occupancy time. The proposed technique, based on the bayesian search theory framework and multi-objective optimization, extracts optimal boustrophedon paths for leak detection in complex environment...
We describe and evaluate a novel optimization-based off-line path planning algorithm for mobile robots based on the Counterexample-Guided Inductive Optimization (CEGIO) technique. CEGIO iteratively employs counterexamples generated from Boolean Satisfiability (SAT) and Satisfiability Modulo Theories (SMT) solvers, in order to guide the optimization process and to ensure global optimization. This paper...
In the past years Unmanned Aerial Vehicles (UAVs) have received considerable attention from the scientific community. The trajectory control is a fundamental block that a flight control system must properly address. However, a recent approach based on fractional calculus has shed a new light into this area, allowing the well tested PID controller to be improved even further. One advantage is that...
This paper addresses the classical, yet challenging, trajectory generation problem for a particular USV (Unmanned Surface Vehicle) used in environmental monitoring applications. The focus is placed on scenarios which involve reaching a target while remaining in communication with the network. Both isotropic (concentric communication area) and anisotropic (directed communication area) antenna are considered...
Permanent Magnet Synchronous Machine (PMSM) torque control over a wide speed range is essentially an optimization problem that treats torque error minimization as the objective function with inverter voltage and current as constraints. It is usually time consuming and difficult to solve such optimization problem for closed-form solutions since torque, voltage and current equations are all non-linear...
This paper further develops the concept of very large size flash-memory-based pulse-width-modulation (PWM) with the implementation of an over-modulation algorithm for a three-phase inverter. The compensation of voltage for linearization is incorporated within the same flash memory with a multi-optimal PWM generator. Using flash memory demonstrates a low cost alternative to advanced processors. This...
Dynamic programming is an effective technique for the evaluation of the potential of optimal fuel consumption of drive trains, as it guarantees a globally optimal solution. This paper investigates two major problems associated with the application of dynamic programming. The first problem is the high computational complexity. Iterative dynamic programming is proposed as an alternative to dynamic programming...
In this paper some of the problems related to electrical drives in modern elevators are presented. These are the modeling of jerk and the definition of the motion trajectory, power savings, efficiency optimization and possibilities for energy storage in generator mode, and application of suitable converters and control techniques for the implementation in elevator drives. Suggested solutions are tested...
In this paper, an event-triggered distributed receding horizon control algorithm is proposed for dynamically coupled continuous-time linear systems. First, an event-triggered rule that is realized by monitoring the error between subsystem state and its optimal prediction is designed, and an extra constraint that restricts the discrepancy between each subsystem's assumed and predicted state and input...
A cruise and headway control strategy using distributed model predictive control, developed for a vehicle platooning application is proposed in this paper. The cruise control (i.e. driving the vehicle with a constant velocity demanded by the driver) is designed for the platoon's leading vehicle, whereas for the rest of the platoon, a headway control strategy is developed. Thus, the control objective...
This paper proposes a motion trajectory control method of underground intelligent scraper based on particle swarm optimization. The simulation model of whole system was established in simulink according to autonomous navigation bivariate PID control algorithm and scraper motion control model. The process of particle swarm optimization was designed based on MATLAB platform. The parameter optimization...
In order to describe the inherent hysteresis nonlinearity of the piezo-actuated stages, a Krasnosel'skii-Pokrovskii (KP) model is presented in the paper. The parameters of the KP model are identified by a modified bat optimization algorithm based on Levy fights trajectory. The modified bat optimization algorithm uses the Levy fights trajectory to improve the global searching ability and break away...
Detection task allocation plays a significant role in many military applications. A better detection task allocation strategy can improve the operational efficiency of the military actions, such as improving tracking accuracy and attacking efficiency. However, the trajectory of the target is usually random which makes the allocation difficult to solve. In this paper, we consider the optimal detection...
Electric vehicles (EVs) are one of the key technolgies for a sustainable mobility, reducing fuel consumption and traffic related emissions. Until today the energy density of the traction battery is low compared to fossil fuels, resulting in a limited range of EVs. Therefore, an optimization of the overall energy consumption of an electric vehicle is crucial. This paper proposes an optimized velocity...
In this paper we propose an effective vision-based navigation method that allows a multirotor vehicle to simultaneously reach a desired goal pose in the environment while constantly facing a target object or landmark. Standard techniques such as Position-Based Visual Servoing (PBVS) and Image-Based Visual Servoing (IBVS) in some cases (e.g., while the multirotor is performing fast maneuvers) do not...
This paper is about Human Robot Motion (HRM), i.e. the study of how a robot should move among humans. This problem has often been solved by considering persons as moving obstacles, predicting their future trajectories and avoiding these trajectories. In contrast with such an approach, recent works have showed benefits of robots that can move and avoid collisions in a manner similar to persons, what...
The energy balancing task for modular multilevel converters is solved as an optimization problem, resulting in optimized feed-forward circulating currents and common-mode voltage. In contrast to the classic approach of specifying circulating current components and common-mode voltage, a maximized subset of (transformed) arm energies are specified during optimization in order to identify optimized...
In this paper we address the problem of online trajectory optimization and cooperative collision avoidance when multiple mobile service robots are operating in close proximity to each other. Using cooperative trajectory optimization to obtain smooth transitions in multi-agent path crossing scenarios applies to the demand for more flexibility and efficiency in industrial autonomous guided vehicle (AGV)...
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